Glossary

Entity SEO treats a business as one clear thing, not a list of keywords

Entity SEO is the practice of making a business recognisable to search and AI systems as a single, unambiguous entity: a specific organisation, with a specific name, category, founder, and set of facts, rather than a loose cluster of keywords it happens to rank for. It works through consistency and structured data instead of phrasing. Where keyword SEO chases what people type, entity SEO establishes what a business is.

Definition

Entity SEO is the discipline of defining a business as a distinct, machine-recognisable entity, its name, category, founder, location, and relationships, and stating those facts consistently everywhere the business appears online. Search and AI systems can then treat the business as one known thing instead of piecing it together from fragments.

What counts as an entity, in practice

An entity is anything a search or AI system can hold a distinct record for: a business, a founder, a product, a place. Entity SEO focuses mainly on the business and the people behind it, making sure each one is described the same way everywhere it appears rather than slightly differently on the website, the Google Business Profile, and any directory listing.

The core facts are simple and easy to underestimate: the exact business name, the category it operates in, who founded or runs it, where it is based, and what it actually does. Getting these five things to agree across every surface is most of entity SEO. It sounds basic because it is; what is rare is actually doing it everywhere the business has a presence.

How it differs from keyword SEO

Keyword SEO starts from the query: what phrase does someone type, and how does a page get written to match it. It rewards density, phrasing, and technical ranking factors tied to a specific search term.

Entity SEO starts from the business itself. Instead of asking which keywords to target, it asks whether a system reading the business from any angle would come away with the same, accurate understanding of who it is. A page can rank for a keyword and still leave a system unsure what the business actually does or who runs it, because ranking and entity clarity are measuring different things. See Reidify's AEO services for how entity clarity gets built into a site rather than added after the fact.

Many names, one thing

Scattered mentions of a business only become an entity once a system can tell they all point at the same thing.

The mechanics: structured data, disambiguation, consistency

Structured data is the most direct lever. Schema.org markup lets a page state its entity facts in a format built for machine extraction rather than visual display: the organisation's name, category, founder, and location, tagged explicitly instead of implied by surrounding text.

Disambiguation matters most for businesses with a common name or a crowded category. Plain text on the page, and structured data behind it, should make clear which specific business this is, so a system with several similarly named options to choose from has an unambiguous reason to pick the right one.

Consistency closes the loop across the web. The same name, category, and description should appear on the business's own site, its Google Business Profile, and any directories or articles that mention it. A system checking a claim against multiple sources treats agreement as a trust signal and disagreement as a reason for caution.

Why it matters more as answers replace links

A ranking algorithm can work with partial signals about a page and still place it well. An AI system forming an answer has less room for ambiguity: it is deciding whether to name a specific business in a specific recommendation, and an unclear or inconsistent entity is an easy one to leave out in favour of a business it can describe with confidence.

This is also why entity SEO is not a one-time task. New directories, new mentions, and new pages keep getting added to the web, and each one is a chance for the entity to drift slightly from how it is described everywhere else. Maintaining entity clarity is ongoing work, not a checklist that gets closed out once.

You don't need to create new machine readable files, AI text files, or markup.
Google Search Central, AI features guidance

0.664

Correlation between branded web mentions and being named by AI, against 0.218 for backlinks across 75,000 brands. The authors caveat that correlation is not causation, and the sample skews to established domains.

Ahrefs, 75,000 brands

52.5%

How often domain-level Authority Score predicts which brand owns a topic in ChatGPT, across 1,094 categories. Close enough to a coin flip that authority in general does not transfer to authority about one subject.

Semrush, 1,094 categories

53.6%

Share of tracked categories with no dominant brand in ChatGPT answers. Only 15.2% have a clear owner, so most subjects are still open.

Semrush, 1,094 categories
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